Dirk Grunwald Headshot
Dirk Grunwald is the Wilfred and Caroline Slade Endowed Professor at University of Colorado at Boulder, in the Department of Computer Science. He received his Ph.D. from the University of Illinois, Urbana-Champaign under Dr. Daniel Reed in the Department of Computer Science. He has been a member of the faculty of the Department of Computer Science at the University of Colorado since 1989. He holds joint appointments in the Dept. of Electrical and Computer Engineering and the Interdisciplinary Telecommunications Program.

I work in the area of computer systems, broadly defined. This includes network, wireless networking, computer architecture as well as privacy and analysis of data  sets. Previously, I have been involved in high performance computing and storage systems. I’m also interested in and publish on technology policy, particularly Internet and wireless policy.


Dirk Grunwald
Dept. of Computer Science
Campus Box 430
Univ. of Colorado, Boulder
Boulder, CO 80301-0430
email grunwald@cs.colorado.edu
phone: (720) 310-5432
fax: (303) 492-2844
Office Hours
(Spring 2014)

See this on-line calendar
for class office hours

Recent Publications

Google does a great job of keeping track of my publications, citations and the like.

In “How New Technologies can Turn a Spectrum Crisis Into a Spectrum Opportunity“, I describe how new cognitive networking technologies can help increase spectrum utilization, particularly when coupled with new network architectures.

We had three papers appearing in DYSPAN 2011 concerning the use of non-contiguous OFDM waveforms, better frequency scheduling methods and propagation modeling. See the Wireless link for related projects.


In Fall 2013, I’m teaching “Data Center Scaling Computing”. The course information is hosted on our Moodle LMS.

This seminar will examine current research topics in the architecture, systems and applications of data-center scale computing systems, including advances in storage and networking, their impact on processing systems such as the popular “map-reduce” framework and applications using those frameworks, including graph processing and data-intensive applications. Particular attention will also be paid to security, inter-cloud coordination and collaboration. Students will be expected to read and discuss 2-4 papers per week and conduct a semester project of their choosing.

The class is currently scheduled for 2-3:15 Tu/Th with a room TBA. The final time of the class may be adjusted to better fit student schedules.


My research spans several areas in computer systems. I currently am supervising projects in these:

Research Supervision

I’ve worked with a fantastic collection of Ph.D., M.S. and undergraduate students over the years. There are too many to list on this page, but a full list of the students and their current whereabouts is listed here.


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